BioNoculars: Extracting Protein-Protein Interactions from Biomedical Text
- Amgad Madkour ,
- Kareem Darwish ,
- Hany Hassan Awadalla ,
- Ahmed Awadallah ,
- Ossama Emam
BioNLP '07 Proceedings of the Workshop on BioNLP 2007: Biological, Translational, and Clinical Language Processing |
The vast number of published medical documents is considered a vital source for relationship discovery. This paper presents a statistical unsupervised system, called BioNoculars, for extracting protein-protein interactions from biomedical text. BioNoculars uses graph-based mutual reinforcement to make use of redundancy in data to construct extraction patterns in a domain independent fashion. The system was tested using MEDLINE abstract for which the protein-protein interactions that they contain are listed in the database of interacting proteins and proteinprotein interactions (DIPPPI). The system reports an F-Measure of 0.55 on test MEDLINE abstracts.